Past members

Frederik Eaton

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Finale Doshi

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Ali Bahramisharif

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Alex Ksikes

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Daniel M. Roy

Daniel received a Ph.D. in Computer Science at MIT under Leslie Kaelbling, following an MEng and BS in Electrical Engineering. He joined the group in March 2011 as a Newton Fellow of the Royal Society, and then as a research fellow of Emmanuel College. His work addresses theoretical questions at the foundation of the emerging field of probabilistic programming in AI and machine learning, and he has interests in the complexity of probabilistic inference; representation theorems connecting complexity and probabilistic structures; and the use of recursion to define nonparametric distributions on data structures.

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Neil Houlsby

Neil is a Google European Doctoral Fellow who started his PhD in Statistical Machine Learning in 2010, co-supervised by Zoubin Ghahramani and Mate Lengyel. In July 2014 he will start work at Google Research, Zurich. Current research interests include probabilistic models for matrices, active learning, variational inference and applications in cognitive science and psychometrics.

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Andrew Gordon Wilson

I have broad interests in statistics and machine learning. I am especially interested in developing new stochastic processes and incorporating them into Bayesian nonparametric models.  My name is linked to my homepage, which has a list of publications, contact information and CV.

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John P. Cunningham

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James Lloyd

James joined the group in 2011 after working as a management consultant at the Boston Consulting Group. Before that, he received a B.A. in mathematics and M.Phil in statistics from the University of Cambridge. His interests lie in the application of Bayesian and nonparametric statistics to machine learning.

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Peter Orbanz

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David Duvenaud

David Duvenaud is a 4th-year Ph.D. candidate whose research interests include causal inference, Gaussian process modeling, reinforcement learning, and machine vision.  Before coming to academia, he co-founded Invenia, a company which uses machine learning to forecast energy production and demand for utilities.

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Roger Frigola

Roger Frigola: Consulting in Data, Models and Optimization. www.rogerfrigola.com                

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